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» Visually Aided Exploration of Interesting Association Rules
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PAKDD
1999
ACM
129views Data Mining» more  PAKDD 1999»
13 years 9 months ago
Visually Aided Exploration of Interesting Association Rules
Association rules are a class of important regularities in databases. They are found to be very useful in practical applications. However, the number of association rules discovere...
Bing Liu, Wynne Hsu, Ke Wang, Shu Chen
CLA
2004
13 years 6 months ago
Emulating a Cooperative Behavior in a Generic Association Rule Visualization Tool
Traditional framework for mining association rules has pointed out the derivation of many redundant rules. In order to be reliable in a decision making process, such discovered rul...
I. Nsir, Sadok Ben Yahia, Engelbert Mephu Nguifo
CORR
2008
Springer
115views Education» more  CORR 2008»
13 years 5 months ago
New probabilistic interest measures for association rules
Mining association rules is an important technique for discovering meaningful patterns in transaction databases. Many different measures of interestingness have been proposed for ...
Michael Hahsler, Kurt Hornik
SOFTVIS
2005
ACM
13 years 10 months ago
Visual data mining in software archives
Software archives contain historical information about the development process of a software system. Using data mining techniques rules can be extracted from these archives. In th...
Michael Burch, Stephan Diehl, Peter Weißgerb...
SDM
2004
SIAM
224views Data Mining» more  SDM 2004»
13 years 6 months ago
Hierarchical Clustering for Thematic Browsing and Summarization of Large Sets of Association Rules
In this paper we propose a method for grouping and summarizing large sets of association rules according to the items contained in each rule. We use hierarchical clustering to par...
Alípio Jorge